基于对比敏感度的小波域图像显著性检测

Image saliency detection in wavelet domain based on the contrast sensitivity function

为了提高显著图的分辨率,提出了一种基于对比敏感度函数和小波分析的高分辨率图像显著性检测算法。将图像在YCb Cr空间进行对比敏感度滤波,用以模拟人眼所能分辨的对比度;进而在Y、Cb和Cr的单通道上进行小波分解,分别提取并合并低频和高频特征图得到单通道显著图,融合三通道得到图像的全分辨率显著图。实验结果表明得到的显著图目标清晰、显著物体整体突出且运算速度快。

A method of high definition saliency detection based on contrast sensitive function and wavelet analysis was proposed in order to improve the resolution of saliency maps. Original image was filtered by contrast sensitive function in YCb Cr space, which could simulate the contrast of human eyes; then wavelet decomposition was carried out in Y, Cb, and Cr three channels individually, low frequency and high frequency feature saliency maps were extracted and further combined to obtain saliency map in single channel; finally saliency maps in three channels were fused to the high resolution saliency map. Experiments result show that the saliency images have high resolution, well-defined boundaries, and whole highlight salient objects.